The Senior Data Developer is responsible for designing, building, and enhancing data products that enable trusted, high‑quality, and decision‑ready data across the organisation. This role will lead hands‑on development across data pipelines, data quality controls, metadata management, and lineage, ensuring that data assets are discoverable, governed, and fit for purpose.
A core part of the role is partnering with Data Governance and business stakeholders to operationalise governance within delivery—leveraging Collibra to define and maintain metadata, policies, ownership, quality rules, and lineage—while delivering scalable data platforms and dashboards that improve how teams make and measure decisions.
Data Platform & Pipeline Development
Design, develop, and optimise scalable data pipelines (batch and/or streaming) to ingest, transform, and curate data from multiple internal and external sources.
Build and maintain curated datasets and semantic layers that support analytics, reporting, and operational use cases.
Apply best practices in modular design, automated testing, CI/CD, monitoring, and operational support.
Ensure solutions meet performance, resiliency, and security requirements appropriate to the organisation’s operating model.
Data Quality Engineering & Management
Define, implement, and manage data quality frameworks and controls (validation rules, completeness, accuracy, timeliness, uniqueness, and integrity).
Develop automated data quality checks and dashboards, including thresholds, alerts, and trend reporting.
Partner with Data Owners and Stewards to triage, remediate, and prevent recurring data quality issues via root‑cause analysis.
Embed data quality gates into pipelines and release processes, enabling measurable improvements in data trustworthiness.
Metadata, Lineage & Governance Enablement (Collibra)
Configure and maintain metadata assets within Collibra, including business glossary terms, technical metadata, ownership, classifications, policies, and data quality rules.
Establish and maintain end‑to‑end data lineage across platforms and products, ensuring transparency from source to consumption.
Collaborate with Data Governance to align development practices with standards for metadata, data cataloguing, access controls, and retention.
Support audits and governance reporting by ensuring documentation and metadata are complete, accurate, and consistently maintained.
Analytics & Decision Enablement (Dashboards / Data Products)
Build data products that support decision‑making, such as operational dashboards, management reporting datasets, and self‑service analytics assets.
Partner with stakeholders to translate business questions into measurable metrics, ensuring consistent definitions and governed KPI logic.
Improve usability and adoption of analytics outputs by enabling discoverability through cataloguing and clear documentation.
Support controlled access to data products, ensuring compliance with security, privacy, and data handling requirements.
Stakeholder & Delivery Collaboration
Work closely with the Head of Data, analysts, engineers, architects, governance teams, and business stakeholders to define priorities and delivery roadmaps.
Provide technical leadership and mentoring to other developers, promoting best practices and consistent engineering standards.
Contribute to delivery planning, estimation, and dependency management across multiple initiatives.
Act as an escalation point for complex technical issues across pipelines, platform components, and data governance tooling.
Knowledge & Experience
10+ years of technology or risk services experience.
10+ years of management experience.
BA/MBA in IT or relevant experience.
Strong experience designing and developing data pipelines and data models (dimensional and/or domain‑oriented).
Proven ability to engineer data quality checks and remediation workflows at scale.
Strong SQL skills and experience with modern ETL/ELT patterns and orchestration tools.
Experience building analytics‑ready datasets and supporting dashboards/BI consumption.
Experience using AI tools and agents to improve efficiency and quality across data management and governance is desirable.
Collibra / Governance Capabilities
Demonstrable experience using Collibra for one or more of the following:
metadata management and cataloguing
business glossary management
data ownership/stewardship workflows
data quality rule definition and reporting integration
lineage capture and operationalisation
Strong understanding of metadata standards and data governance concepts (ownership, stewardship, critical data elements, and controls).
Data Lineage & Observability
Experience implementing or integrating lineage across pipelines and tools, including source‑to‑target mapping and transformation traceability.
Understanding of data observability/monitoring concepts (pipeline health, freshness, anomaly detection, and incident response).
Soft Skills
Strong stakeholder management and ability to translate business needs into data products and quality controls.
Excellent written documentation skills, with a commitment to clarity and maintainability.
Ability to work effectively in ambiguous environments, managing multiple priorities with minimal oversight.
Personal Attributes
Highly organised, proactive, and detail‑oriented.
Comfortable operating in ambiguity and adapting to changing priorities.
Resilient, calm under pressure, and confident acting as an extension of the CIO.
Trusted partner with a collaborative, inclusive leadership style.
Location ExpectationsThis role requires working from a U.S. Bank location three (3) or more days per week.
AccessibilityWe are committed to providing an inclusive and accessible recruitment experience. If you need adjustments at any stage of the application or hiring process, please contact your recruiter for guidance and support.
Total RewardsWe offer a market‑competitive compensation package that includes:
Clearly defined salary ranges aligned with industry benchmarks and internal equity standards.
Performance‑based incentives for eligible employees (defined by relevant plan rules), awarded through transparent, objective criteria that recognise both individual and company performance.
Inclusive equitable benefits that are accessible to all employees and focused around our three main pillars of financial wellbeing, health & wellness.
Continuous development opportunities including training, education support, and career progression pathways based on inclusive and transparent criteria.
Employee recognition programs that celebrate achievements and milestones for all.
We regularly review our compensation and benefits to ensure they remain competitive, inclusive, and responsive to employee needs and market trends.
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